This is a summary of the full tutorial published on howtostartprogramming.in.
TL;DR Get a local LLM up and running with Ollama, expose its /api/chat REST endpoint, and call it from any application in just a few lines of code. Step Command / Code What it does 1⃣ Install Ollama curl -fsSL https://ollama.com/install.sh | sh Downloads and installs the latest Ollama binary for your OS. 2⃣ Pull a model ollama pull llama3.2:latest Downloads the chosen LLM (e.g., Llama 3.2) into Ollama’s local cache. 3⃣ Enable the REST API ollama serve --port 11434 Starts a local HTTP server listening on http://localhost:11434 . 4⃣ Send a chat request fetch('http://localhost:11434/api/chat', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ model: 'llama3.2', messages: [{ role: 'user', content: 'Explain quantum tunneling in 2 sentences.' }], stream: f
📖 Read the Full Tutorial
🔗 Ollama REST API tutorial integrate local AI with any app 2026 — Full Guide with Code Examples
The full article includes:
- ✅ Step-by-step code examples (copy-paste ready)
- ✅ Complete working project (Spring Boot / Java)
- ✅ Common mistakes + fixes
- ✅ Production tips and benchmarks
- ✅ FAQ section
Published on How to Start Programming — practical AI and Java tutorials for developers.
